Evidence map›Paper›PMID 35601913›Full record

ArticleiScience2022

Conformationally engineering flexible peptides on silver nanoparticles.

Jia Xu, Tiange Gao, Lingjie Sheng, Yan Wang, Chenxi Lou, Haifang Wang, Yuanfang Liu, Aoneng Cao

Abstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Making nanoparticles protein-like.Nanomedicine (London, England) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jia XuInstitute of Nanochemistry and Nanobiology, Shanghai University, Shanghai 200444, China.
Tiange GaoInstitute of Nanochemistry and Nanobiology, Shanghai University, Shanghai 200444, China.
Lingjie ShengInstitute of Nanochemistry and Nanobiology, Shanghai University, Shanghai 200444, China.
Yan WangInstitute of Nanochemistry and Nanobiology, Shanghai University, Shanghai 200444, China.
Chenxi LouInstitute of Nanochemistry and Nanobiology, Shanghai University, Shanghai 200444, China.
Haifang WangInstitute of Nanochemistry and Nanobiology, Shanghai University, Shanghai 200444, China.
Yuanfang LiuInstitute of Nanochemistry and Nanobiology, Shanghai University, Shanghai 200444, China.
Aoneng CaoInstitute of Nanochemistry and Nanobiology, Shanghai University, Shanghai 200444, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular conformational engineering is to engineer flexible non-functional molecules into unique conformations to create novel functions just like natural proteins fold. Obviously, it is a grand challenge with tremendous opportunities. Based on the facts that natural proteins are only marginally stable with a net stabilizing energy roughly equivalent to the energy of two hydrogen bonds, and the energy barriers for the adatom diffusion of some metals are within a similar range, we propose that metal nanoparticles can serve as a general replacement of protein scaffolds to conformationally engineer protein fragments on the surface of nanoparticles. To prove this hypothesis, herein, we successfully restore the antigen-recognizing function of the flexible peptide fragment of a natural anti-lysozyme antibody on the surface of silver nanoparticles, creating a silver nanoparticle-base artificial antibody (Silverbody). A plausible mechanism is proposed, and some general principles for conformational engineering are summarized to guide future studies in this area.

Indexed as

Diffusion potentialsEngineeringNanoparticles

Identifiers

PMID35601913
PMCPMC9117549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.